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Union within the project “A Comprehensive Trustworthy Framework for Connected Machine Learning and Secure Interconnected AI Solutions (CoEvolution)”, - CUP F23C24000210006 – selection code: ipd_10D_0426_09/IINF
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therapeutic and rehabilitation patient monitoring, through the implementation of software platforms and predictive models based on Artificial Intelligence and Machine Learning techniques. Developing solutions
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predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
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of innovative multicriteria models for the management, integration, and enhancement of geological and geophysical data, using geostatistical, geomatic, and, where appropriate, machine learning techniques
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity will focus on the development of machine learning
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity will focus on the development of machine learning
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3 Apr 2026 Job Information Organisation/Company C.N.R. - IEIIT Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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network structures. Methods from graph theory, machine learning, and artificial intelligence will be employed to model complex relational structures and identify patterns in high-dimensional data. The work
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the candidate’s research activity; Foreign language required: excellent level of English; Knowledge of Italian: level adequate to carry out the assigned teaching load (the researcher is required to teach in Italian
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platform for real-time management and analysis of alerts from gravitational-wave detectors using machine learning” - The European multi-messenger astrophysics community increasingly requires rapid alert